EPAM Systems is seeking a skilled Data Quality Automation Engineer to join their team, contributing to a solution based on main AWS services. The role involves designing and implementing test automation strategies, developing data quality checks, and collaborating with teams to improve BI processes.
Responsibilities:
- Design and implement test automation strategies within the SDLC
- Develop and maintain data quality checks across AWS-based data pipelines
- Collaboration with teams to analyze and improve BI processes
- Validation of ETL workflows and data transformations
- Ensure reliability of reporting and analytics dashboards
- Support modern CI/CD practices and observability initiatives
- Identification and resolution of data quality issues across services
- Contribution to the continuous improvement of automation frameworks
Requirements:
- 3+ years of experience working with Amazon Web Services
- Background in BI Process Analysis
- Expertise in Test Automation in SDLC
- English proficiency at B2 level or higher
- Familiarity with AWS Glue, Amazon Athena and Amazon Elastic Kubernetes Service
- Knowledge of Amazon Kinesis, Apache Hive and BI Toolset Ops
- Proficiency in Java, Node.js and SQL